Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing

• 0
• 1
• 2
• 3
• 4
• 5

Presenting the fundamental algorithms and data structures that power bioinformatics workflows, this book covers a range of topics from the foundations of sequence analysis (alignments and hidden Markov models) to classical index structures (k-mer indexes, suffix arrays, and suffix trees), Burrows–Wheeler indexes, graph algorithms, network flows, and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualizations, and exercises, providing graduate students, researchers, and practitioners with a powerful algorithmic toolkit for the applications of high-throughput sequencing. An accompanying website (www.genome-scale.info) offers supporting teaching material. The second edition strengthens the toolkit by covering minimizers and other advanced data structures and their use in emerging pangenomics approaches.

---

Related News

Differential Gene Expression Using Ngs Data For Beginners
Differential Gene Expression Using Ngs Data For Beginners Published 3/2023 MP4 | Video: h264,... Genomic Selection Signature Pipeline using Hp Statistics
Genomic Selection Signature Pipeline using Hp Statistics Published 07/2022 MP4 | Video: h264,... Hands On Bioinformatics Analysis From Genomics To Proteomics
Last updated 7/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size:... Artificial Intelligence in Bioinformatics and Chemoinformatics
Free Download Artificial Intelligence in Bioinformatics and Chemoinformatics by Yashwant V....

System Comment

Facebook Comment